· SAAS · PROCESS INTELLIGENCE · DATA QUALITY ·
Process intelligence, data quality, and business intelligence for software companies that need to understand what's happening inside their operations — not just their product metrics.
Technology companies have data — product logs, process events, CRM records, support tickets, release histories. What they often lack is the structure to connect those signals into coherent operational intelligence. The analytics function gets built late, KPIs are inconsistent across teams, and process inefficiencies accumulate invisibly until they're large enough to hurt.
At Celonis, we worked directly with enterprise clients to surface those inefficiencies through structured process mining — identifying and quantifying operational losses using event log data. The aggregate across our engagements exceeded $32M in recoverable losses. At Singular (Flutter International), we operated inside a global SaaS platform managing data quality, product analytics, and cross-application reporting across 15+ distinct product lines.
We understand both the consulting-side view — diagnosing a client's process landscape from outside — and the internal view of living inside a SaaS product function for years. That dual perspective is rare.
From process diagnosis to reporting infrastructure — work that connects your data to decisions.
Celonis is the global leader in process mining and execution management. We delivered analytics consulting engagements helping enterprise clients identify and quantify operational inefficiencies across their core business processes — surfacing over $32M in recoverable losses through structured EMS analysis.
Singular is a global SaaS platform within Flutter International's technology stack. We were embedded in the product and data function for four years — managing data operations, product analytics, and cross-application reporting across 15+ applications in a compliance-heavy, multi-jurisdictional environment.
Whether you're building your analytics function or diagnosing a specific operational problem — let's talk.
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